Announcing our design partner program
Three slots, locked pricing for 12 months, direct engineering access, named case study at power-on. Here's how we're picking our first three production customers.
Now reserving first-wave capacity.Now reserving.
Lock in launch pricingEngineering, product, and industry deep-dives from the SmartTec team.
AI workloads need 10x the power of traditional compute. The grid can't keep up — interconnection queues are 4 to 7 years long. We bet that owning the power layer is the only way to ship AI compute at the pace the market needs.
Three slots, locked pricing for 12 months, direct engineering access, named case study at power-on. Here's how we're picking our first three production customers.
A practical guide for inference teams choosing between NVIDIA H200 and Cerebras CS-3. The answer is rarely "one or the other" — most workloads benefit from running both.
AURA watches ISO/RTO load forecasts, weather, and historical event patterns to predict grid instability before it happens. Here's how the model works and what it caught in our first 90 days.
Why we chose Tulsa, why we manufacture cells in-house, and what it takes to ship a 5 MW battery stack that the federal government will accept under ITAR.
Federal customers can't deploy AI on foreign-made silicon. Here's how we designed SmartTec to be ITAR-clean across the full stack — power, compute, networking, and firmware.
Everyone is talking about GPU shortages. The real bottleneck is megawatt-scale power delivery. We pulled 18 months of data on interconnection queues and the picture is grim.
Capex, opex, PPA, lease — we break down the real numbers for a 5 MW AI compute deployment running NVIDIA H100s on z1power battery-backed power.
When the grid drops, our batteries take over in under 10 milliseconds. Here's the switchgear, the controls, and the load-shedding logic that makes it work without interrupting your training job.
Why we refreshed the brand, what we kept, what we threw away, and how the design system ended up looking like a battery manufacturer's spec sheet (in the best way).
When you own the power, your cost structure changes. We model out five years of TCO for grid-tied vs. behind-the-meter AI compute at 1 MW, 5 MW, and 50 MW scales.
Reference architectures aren't glamorous, but they save months of integration work. Here's why we picked NVIDIA's NCP framework for our base deployment and what it unlocks for customers.
Today we're announcing SmartTec. NVIDIA and Cerebras compute on megawatt batteries we build ourselves. Q4 2026 power-on. Three design-partner slots now open.